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dc.contributor.authorDay, Thomas C
dc.contributor.authorHöhn, Stephanie S
dc.contributor.authorZamani-Dahaj, Seyed A
dc.contributor.authorYanni, David
dc.contributor.authorBurnetti, Anthony
dc.contributor.authorPentz, Jennifer
dc.contributor.authorHonerkamp-Smith, Aurelia R
dc.contributor.authorWioland, Hugo
dc.contributor.authorSleath, Hannah R
dc.contributor.authorRatcliff, William C
dc.contributor.authorGoldstein, Raymond
dc.contributor.authorYunker, Peter J
dc.date.accessioned2022-01-08T00:30:35Z
dc.date.available2022-01-08T00:30:35Z
dc.date.issued2022-02-21
dc.identifier.issn2050-084X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/332459
dc.description.abstractThe prevalence of multicellular organisms is due in part to their ability to form complex structures. How cells pack in these structures is a fundamental biophysical issue, underlying their functional properties. However, much remains unknown about how cell packing geometries arise, and how they are affected by random noise during growth - especially absent developmental programs. Here, we quantify the statistics of cellular neighborhoods of two different multicellular eukaryotes: lab-evolved 'snowflake' yeast and the green alga Volvox carteri. We find that despite large differences in cellular organization, the free space associated with individual cells in both organisms closely fits a modified gamma distribution, consistent with maximum entropy predictions originally developed for granular materials. This 'entropic' cellular packing ensures a degree of predictability despite noise, facilitating parent-offspring fidelity even in the absence of developmental regulation. Together with simulations of diverse growth morphologies, these results suggest that gamma-distributed cell neighborhood sizes are a general feature of multicellularity, arising from conserved statistics of cellular packing.
dc.publishereLife Sciences Publications Ltd
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleCellular organization in lab-evolved and extant multicellular species obeys a maximum entropy law.
dc.typeArticle
dc.publisher.departmentDepartment of Applied Mathematics And Theoretical Physics
dc.date.updated2022-01-06T22:25:13Z
prism.publicationNameElife
dc.identifier.doi10.17863/CAM.79905
dcterms.dateAccepted2022-01-04
rioxxterms.versionofrecord10.7554/eLife.72707
rioxxterms.versionAM
dc.contributor.orcidDay, Thomas C [0000-0003-4681-9348]
dc.contributor.orcidHöhn, Stephanie S [0000-0003-1815-705X]
dc.contributor.orcidGoldstein, Raymond [0000-0003-2645-0598]
dc.contributor.orcidYunker, Peter J [0000-0001-8471-4171]
dc.identifier.eissn2050-084X
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/M017982/1)
pubs.funder-project-idWellcome Trust (207510/Z/17/Z)
datacite.ispreviousversionof.handlehttps://www.repository.cam.ac.uk/handle/1810/335389
cam.orpheus.success2022-07-26: Linked to JISC Router
cam.orpheus.counter2
cam.depositDate2022-01-06
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International